T. L. Friesen

Unleashing the secrets of plant-fungal interactions using a transformation-free confocal staining technique that supports AI-assisted quantitative analysis

This paper introduces a transformation-free confocal staining technique for visualizing plant-fungal interactions and uses machine learning to quantify fungal volume and nuclear breakdown.

Large-scale analyses reveal the contribution of adaptive evolution in pathogenic and non-pathogenic fungal species

This study analyzes 2,478 fungal genomes to compare adaptive evolution rates across 20 species, finding that high adaptation rates are not exclusive to pathogens.

Genome-wide association studies reveal the complex genetic architecture of DMI fungicide resistance in Cercospora beticola

This study identifies genetic mutations associated with DMI fungicide resistance in Cercospora beticola using GWAS and selective sweep analysis.

Local adaptation drives the diversification of effectors in the fungal wheat pathogen Parastagonospora nodorum in the United States

This study uses whole genome resequencing of 197 Parastagonospora nodorum isolates to show that local adaptation drives effector gene diversification and genomic selection in response to host resistance/susceptibility in U.S. wheat production regions.